In my last blog I spoke about the decisions that must be made when transforming an Industry Data Model (iDM) from Logical Data Model (LDM) to an implementable Physical Data Model (PDM). However, being able to generate DDL (Data Definition Language) that will run on a Teradata platform is not enough – you also want Read More…

Running Hadoop on an appliance offers significant benefits, but as Hadoop workloads become more sophisticated, so too must the appliance. That’s exactly why we’re releasing the ‘new’ Teradata Appliance for Hadoop 5. Our new appliance has evolved alongside Hadoop usage scenarios while giving IT organizations more freedom of choice to run diverse workloads. Running Hadoop Read More…

Concurrent with acquiring Hadoop companies Hadapt and Revelytix last year, Teradata opened the Teradata Center for Hadoop in Boston. Teradata recently announced that a major new initiative of this Hadoop development center will include open-source contributions to a distributed SQL query engine called Presto. Presto was originally developed at Facebook, and is designed to run Read More…

For those in data—the developers, architects, administrators and analysts who capture, distill and integrate complex information for their organizations—the Hadoop Summit is one of the most important events of the year. We get to talk, share and learn from each other about how we can make Hadoop key to the enterprise data architecture. The 2015 Read More…

I recently participated in a business analytics project for non-profits that, as the planning progressed, seemed like a perfect opportunity to implement an agile approach, except that the work was to be completed in two days! But all the developers would be co-located. We had three objectives that fit the profile of user stories. We Read More…

By Mark Cusack, Chief Architect, Teradata RainStor One of the entertaining aspects of applying physical analogies to data technology is seeing how far you can push the analogy before it falls over or people get annoyed. In terms of analogical liberties, I’d suggest that the data lake occupies the number one spot right now. It’s Read More…

Introducing Teradata Loom®: Rapidly improve user productivity in Hadoop through advanced data governance solutions – plus a portfolio of additional integrated Teradata solutions for Hadoop. By Michael Lang The big topic of the day in the data industry is the promised big benefits – almost magical insights – from big data. But what happens when Read More…

Database users are increasingly becoming more comfortable with storing their databases in public or private clouds. For example, Amazon RDS (relational database service) is used by approximately half of all customers of Amazon’s AWS cloud. A key feature of cloud computing is multi-tenancy. It allows many different users, potentially from different organizations, to share the Read More…

Teradata is making Presto enterprise-ready so global powerhouses can be as innovative as elite big data practitioners including organizations like Facebook, Netflix, Airbnb, Dropbox and Groupon. By Justin Borgman Today, I’m proud to announce that Teradata has joined the open source community for Presto, the open-source distributed SQL query engine used by big data innovators Read More…

by Mark Cusack, Chief Architect, Teradata RainStor The RainStor team at Teradata is very excited to announce the release of RainStor ®7. This software release is the first since RainStor became a member of the Teradata family last December. The primary objective of my first blog post for Teradata is to describe the new features Read More…